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Metadata Files

Data Publication

Supporting data for Simulating horizontal crustal motions of GIA using compressible cartesian models

Reusen, Jesse | Steffen, Rebekka | Steffen, Holger | Root, Bart | van der Wal, Wouter

4TU.ResearchData

(2023)

Descriptions

This dataset includes input files for the Abaqus models, and the horizontal output data of the ICEAGE runs for the paper titled 'Simulating horizontal crustal motions of glacial isostatic adjustment using compressible cartesian models'. It also contains output data for the FastLove-HiDeg and AFCAL models that were used for the supplementary material of the paper.

Keywords

Originally assigned keywords

Earth Sciences

Geophysics

FOS: Earth and related environmental sciences

horizontal motion

cartesian models

spherical models

compressibility

glacial isostatic adjustment (GIA)

finite element method (FEM)

Corresponding MSL vocabulary keywords

axial compressibility

bulk compressibility

MSL enriched keywords

Measured property

elasticity

axial compressibility

bulk compressibility

Earth's structure

Earth crust

MSL enriched sub domains i

rock and melt physics

Source

https://data.4tu.nl/datasets/9a9bdb35-8f65-41f1-be00-4d247722ad48/1

Source publisher

4TU.ResearchData

DOI

10.4121/9a9bdb35-8f65-41f1-be00-4d247722ad48.v1

Creators

Reusen, Jesse

https://orcid.org/:

0000-0002-1669-9771

Steffen, Rebekka

Steffen, Holger

Root, Bart

https://orcid.org/:

0000-0001-7742-1434

van der Wal, Wouter

Contributors

TU Delft, Faculty Of Aerospace Engineering, Department Of Space Engineering

Other

Lantmäteriet, Gävle, Sweden

Other

Citation

Reusen, J., Steffen, R., Steffen, H., Root, B., & van der Wal, W. (2023). Supporting data for Simulating horizontal crustal motions of GIA using compressible cartesian models (Version 1) [Data set]. 4TU.ResearchData. https://doi.org/10.4121/9A9BDB35-8F65-41F1-BE00-4D247722AD48.V1

Dates

Issued:

2023-04-19

Language

Funding References

Funder name: NWO-ENW

Award number: ALW.GO.2017.035

Award title: This research was (partially) funded by NWO Science domain

Funder name: Swedish National Space Agency

Award number: 2018-00140

Award title: RS is supported by a project grant from Rymdstyrelsen

Rights

Creative Commons Attribution 4.0 International